VAYUZ Technologies - Lead Data Engineer

Job Description :

Key Responsibilities :

- Lead and manage teams of data engineers, analysts, and developers to deliver high-quality, production-ready data platforms.

- Own the design, development, and maintenance of data pipelines, data lakes, and data warehouses.

- Ensure data availability, performance, reliability, scalability, and cost efficiency across platforms.

- Translate business requirements into robust technical architectures and implementation plans.

- Define and enforce data governance, security, and compliance standards.

- Drive continuous improvement of data engineering processes, frameworks, and tooling.

- Mentor, guide, and develop team members through technical leadership and career planning.

- Manage project delivery, resource planning, timelines, and execution milestones.

- Partner with BI, Product, IT, and Cloud teams to enable organization-wide data-driven decision making.

- Evaluate and adopt emerging technologies and best practices in cloud and data engineering ecosystems.

Required Skills & Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related fields.

- 11+ years of experience in data engineering or related domains, including 3+ years in a lead or people-management role.

- Strong expertise in SQL, data modeling, and ETL/ELT design.

- Hands-on experience with Azure cloud platforms, including Databricks and Snowflake.

- Proficiency with modern data frameworks and tools such as Apache Spark, Kafka, Airflow.

- Solid knowledge of data governance, security, and compliance frameworks (GDPR, HIPAA, etc.).

- Proven leadership, communication, and stakeholder management capabilities.

- Demonstrated ability to manage complex priorities in high-growth, fast-paced environments.

- Strong hands-on experience in orchestrating Databricks pipelines, automated workflows, and

job scheduling.

- Expertise with Databricks Unity Catalog, Hive Metastore, and building Databricks dashboards for monitoring and visualization.

- Working experience with Azure Functions for serverless and event-driven data workflows.

- Proven implementation of Medallion Architecture (Bronze-Silver-Gold) for scalable ingestion, transformation, and delivery.

- Experience building end-to-end data pipelines on Azure + Databricks environments.